Mistral Large 4

Mistral AIopen-source NewOpen Source

Mistral's 'Le Chonk': a 1.05T-total / 52B-active natively multimodal mixture-of-experts model with a 1M-token context window and low / medium / high reasoning modes (high default). Public API preview on 6 Oct 2026, open weights on 29 Oct 2026 (the release date shown; the docs list general availability on 5 Nov). $0.70/$2.10 per 1M tokens with cached input at $0.07, roughly half the preview rate. Weights on Hugging Face as Mistral-Large-4-1T-A52B under the Mistral Ecosystem Open-Weight license, a modified MIT: internal use, fine-tuning and products built on it are fine, but a company offering it as a hosted model service needs a separate commercial licence (Large 3 was Apache 2.0). Mistral's own numbers (vendor-reported): Terminal-Bench 4.0 41%, FrontierCode 2.0 19.7%, BrowseComp 84.5%, and it wins 64% of blind Surge Code comparisons against GLM-5.3 and Kimi K3 but only 22% against Claude Opus 5.5. Artificial Analysis Intelligence Index v5.0.1 scores it 26 at high effort at $2.06 per Index task and 120 tokens/s — a coding-agent model first, well below Kimi K3.1 Pro (46) on general intelligence. Maximum output is not published; the figure shown is a placeholder.

Context Window

1M

tokens

Max Output

33K

tokens

Input Price

$0.7

per 1M tokens

Output Price

$2.1

per 1M tokens

Speed

120

tokens/sec

Released

Oct 2026

2026-10-29

Blended Cost

$1.40

per 1M tokens

Value Score

62.1

quality per $

Capabilities

ChatVisionFunction CallingCode GenerationReasoning

Benchmarks

Quality Index
87

Price vs Quality

6080100$1.00$10.00$100.00Blended cost per 1M tokens (log scale) →GPT-4o — $6.25/1M, quality 85GPT-4o Mini — $0.375/1M, quality 72o3 Mini — $2.75/1M, quality 88o3 — $5.00/1M, quality 94GPT-4.1 — $5.00/1M, quality 89Claude Opus 4 — $45.00/1M, quality 91Claude Sonnet 4 — $9.00/1M, quality 88Claude 3.5 Haiku — $2.40/1M, quality 75Gemini 2.5 Pro — $5.63/1M, quality 92Gemini 2.0 Flash — $0.250/1M, quality 74Llama 4 Maverick — $0.400/1M, quality 80Llama 4 Scout — $0.275/1M, quality 71Mistral Large 2 — $4.00/1M, quality 79Codestral — $0.600/1M, quality 76DeepSeek V3 — $0.685/1M, quality 86DeepSeek R1 — $1.37/1M, quality 91Grok 3 — $9.00/1M, quality 87Grok 3 Mini — $0.400/1M, quality 78Command R+ — $6.25/1M, quality 68Amazon Nova Pro — $2.00/1M, quality 70Qwen 2.5 72B — $0.600/1M, quality 80Qwen 2.5 Coder 32B — $0.300/1M, quality 74Sonar Pro — $9.00/1M, quality 78GPT-5.5 — $17.50/1M, quality 97GPT-5.5 Pro — $105.00/1M, quality 96Claude Opus 4.7 — $15.00/1M, quality 96Gemini 3.1 Pro — $7.00/1M, quality 96DeepSeek V4 Pro — $1.32/1M, quality 89DeepSeek V4 Flash — $0.210/1M, quality 84Qwen 3.6 Plus — $3.50/1M, quality 86Grok 4.3 — $1.88/1M, quality 93Kimi K2.6 — $2.11/1M, quality 92Kimi K3 — $9.00/1M, quality 97Claude Sonnet 4.6 — $9.00/1M, quality 90GLM-5.1 — $2.03/1M, quality 88Claude Opus 4.8 — $15.00/1M, quality 98Qwen 3.7 Max — $5.00/1M, quality 94Claude Fable 5 — $30.00/1M, quality 99MiniMax M3 — $1.50/1M, quality 89GPT-5.6 Sol — $17.50/1M, quality 98GPT-5.6 Terra — $7.00/1M, quality 93GPT-5.6 Luna — $0.700/1M, quality 83Gemini 3.6 Flash — $2.25/1M, quality 90Gemini 3.5 Flash-Lite — $1.40/1M, quality 79Claude Sonnet 5 — $6.00/1M, quality 93GLM-5.2 — $2.90/1M, quality 91Claude Opus 5 — $15.00/1M, quality 99Claude Mythos 5 — $30.00/1M, quality 99Grok 4.5 — $4.00/1M, quality 94Qwen3.8 Max — $4.00/1M, quality 96GPT-6 Astra — $30.00/1M, quality 99Claude Fable 5.1 — $30.00/1M, quality 99DeepSeek V4.1 Flash — $0.750/1M, quality 92GLM-5.3 — $2.90/1M, quality 96GLM-5.3 Flash — $0.325/1M, quality 93Muse Spark 1.3 — $2.75/1M, quality 97Grok 4.6 — $4.00/1M, quality 95Gemini 3.8 Flash — $2.25/1M, quality 93Claude Opus 5.5 — $12.00/1M, quality 99Claude Sonnet 5.5 — $6.00/1M, quality 99GPT-6.1 Sol — $6.00/1M, quality 98GPT-6 Sol — $6.00/1M, quality 97GPT-6 Luna — $0.300/1M, quality 89Claude Fable 5.2 — $24.00/1M, quality 100Claude Mythos 5.2 — $24.00/1M, quality 100Claude Haiku 5.5 — $0.300/1M, quality 91Gemini 4 Carbon — $6.00/1M, quality 99Gemini 4 Argon — $6.00/1M, quality 96GPT-6.1 Terra — $3.00/1M, quality 96Mistral Large 4 — $1.40/1M, quality 87Mistral Large 4
Cheaper is left, more capable is up. 6 of 69 priced models are both cheaper and score at least as high. Self-host models are left off the price axis — their cost depends on the hardware you run them on, not on tokens.

Context Window in Context

  • ▸ Mistral Large 41M
  • GPT-4.11M
  • Gemini 2.5 Pro1M
  • Gemini 2.0 Flash1M
  • Llama 4 Maverick1M
  • GPT-5.51M
  • GPT-5.5 Pro1M
  • Claude Opus 4.71M
Bar length is logarithmic — each full step is 10× the tokens. Shown against the models with the nearest context windows, not the directory extremes.

Open Source: Licensed under Mistral Ecosystem Open-Weight License (modified MIT)

Todavía no está en nuestro gateway

Mistral Large 4 es de pesos abiertos, así que puedes ejecutarlo tú mismo. Swfte Connect convierte tu despliegue en un endpoint gestionado que habla la misma API que el resto de modelos de este directorio.

La petición
curl https://api.swfte.com/agents/v2/gateway/chat/completions \
  -H "Authorization: Bearer $SWFTE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "mistral:mistral-large-4",
    "messages": [{"role": "user", "content": "Hello"}]
  }'
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About Mistral Large 4

Mistral Large 4 is a open-source AI model by Mistral AI, released on October 29, 2026. It supports a context window of 1000K tokens and can generate up to 33K output tokens.

At $0.7 per million input tokens and $2.1 per million output tokens, its blended cost of $1.40/1M tokens puts it in the mid-range pricing tier. Its value score of 62.1 reflects the balance of quality and cost.

Mistral Large 4 is available as an open-source model under the Mistral Ecosystem Open-Weight License (modified MIT) license, meaning you can self-host it for predictable costs or use it through API providers like Swfte Connect.

Using Mistral Large 4 with Swfte

Access Mistral Large 4 through Swfte Connect, our unified LLM gateway. Connect gives you a single API for 50+ models, with automatic routing, cost optimization, and fallback handling. You can also try Mistral Large 4 in our AI Playground before integrating.

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